Created
October 19, 2017 09:29
-
-
Save dimaxano/449643c49b4cbc136d17ade8721a1ea2 to your computer and use it in GitHub Desktop.
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
import os | |
import numpy as np | |
import cv2 | |
def mask_to_label(mask_rgb): | |
pascal_palette = np.array([(0, 0, 0), (192, 128, 128)], dtype=np.uint8) | |
mask_labels = np.ones(mask_rgb.shape[:2]) | |
pixel = 0 | |
for i in range(mask_rgb.shape[0]): | |
for j in range(mask_rgb.shape[1]): | |
try: | |
color = list(mask_rgb[i, j, :].astype(np.uint8)) | |
pixel = pascal_palette.tolist().index(color) | |
mask_labels[i, j] = pixel | |
except Exception: | |
mask_labels[i, j] = pixel | |
return mask_labels | |
labels_path = "" | |
new_labels_path = "" | |
for i in os.listdir(labels_path): | |
label = cv2.imread(labels_path + i) | |
label = label[:,:,::-1] | |
palette = mask_to_label(label) | |
res = cv2.imwrite(new_labels_path+i, palette) | |
print (res) |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment